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Berkeley_Eyetracker Saliency & Importance map on still images
Information
| Categories | Eye tracking / Images |
|---|---|
| Processing | No degradation |
| Resolution | Less than 960x540 |
| Created the | 16 Jan 2015 |
Presentation & Goal
The IRCCyN IVC Berkeley Eyetracker database contains 80 images in 481x321 pixels.
The images are original ones without degradation.
We done a free task eyetracker experiment in ITU-R BT500-11 environment.
The images, eyetracker raw data, the saliency maps and the importance maps are provided.
Initial goal
Gaze data collected are used to create saliency maps to quantify the relationship between visual salience and visual importance. The importance maps were collected in a previous experiment at Oklahoma State University.
More details can be found in the related publications.
Possible usage
Compare the saliency maps and the importance maps.
Dataset description
Here, there are 12 of the 80 PNG files
These images come from Berkeley segmentation database. These images were taken from the Corel royalty-free photo collection.
The raw data are provided. There are a text file for each observer and each image. To know, how the data are provided see the information file.
The saliency maps are provided.
The importance maps are provided.
The information about the subjective experiment environment and available data are provided in this page (see other tabs) and in the information file.
Experience information
Features |
Value |
|---|---|
| Highlights of this database | saliency maps and importance maps |
| no degradation | |
| Images | |
| Images resolution | 481x321 pixels |
| Images display duration | 15 seconds |
| Number of images | 80 |
| Subjective test | |
| Observation distance | 4.9H |
| Environment | ITU-R BT.500-11 |
| Duration | 30 minutes |
| Free or Quality Task | Free Task |
| Observers | |
| Number of observers | 24 naives |
| Eyetracker | |
| Eyetracker | Cambridge Research System Eyetracker |
| Eyetracker mode | monocular |
| Eyetracker acquisition frequency | 50Hz |
| Display | |
| Display model | LCD DELL 1704FPT |
| Display resolution | 1280x1024 |
| Display luminance | 0.3/180cd/m² |
| Display frequency | 50 Hz |
Related pages
Source publication : Please, cite the following paper(s) in your publications if you use this database in your work
Quantifying the relationship between visual salience and visual importance J. Wang, D. Chandler, P. Le Callet
Conference paperSpie Human and Electronic imaging (HVEI) XV, Jan 2010, San Jose, United States
A database of human segmented natural images and its application to evaluating segmentation algorithms and measuring ecological statistics D. Martin, C. Fowlkes, D. Tal, J. Malik
Conference paperProc. 8th Int'l Conf. Computer Vision, Jul 2001
Database Download Guide for ftp://ftp.ivc.polytech.univ-nantes.fr/IRCCyN_IVC_Eyetracker_Berkeley_Database/
Use a FTP Manager to download all files at once
| Host | ftp.ivc.polytech.univ-nantes.fr |
|---|---|
| Port | 21 |
| User information | Anonymous |
| Directory | IRCCyN_IVC_Eyetracker_Berkeley_Database/ |
With Filezilla (Windows, Linux, Mac OS)
- Download the FileZilla Client software at https://filezilla-project.org/ and install it.
- Launch File > Sites Manager and fill in the form. The Host is ftp.ivc.polytech.univ-nantes.fr. Use Anonymous for Logon Type. All others fields can be left blank. Finally, press Connect.
- In the first panel, you can see connection's logs. Normally, a message like Response: 220 ftproxy FTP server (Version 1.9.2.4 - 2005/01/11 13:03:28) ready. is printed.
- The left column below contains your computer file system and the selected folder. In the right column, you can see the FTP server file system and its selected folder.
- In the left colum, select the local directory in which receive the database. In the right panel, find IRCCyN_IVC_Eyetracker_Berkeley_Database/ , right click and press Download.
- Bottom panel shows file transfer informations. All files of the databases are being downloaded in your computer. Please wait during the transfer.
With WGET (Linux)
Copy and paste this command in a terminal :
wget -P your/destination/folder ftp://ftp.ivc.polytech.univ-nantes.fr/IRCCyN_IVC_Eyetracker_Berkeley_Database/
